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Record W4387407100 · doi:10.57144/hi.v46i3.869

Toward Islamic English by Ismā‘īl Rājī al Fārūqī

2023· article· en· W4387407100 on OpenAlexaboutno aff
ZEESHAN AHMED SHEIKH

Bibliographic record

VenueHamdard Islamicus · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIslamizationIslamFaithTheme (computing)SociologyJudaismReligious studiesTheologySociology of religionChristianityPhilosophySocial science

Abstract

fetched live from OpenAlex

Dr. Ismā‘īl Rājī al Fārūqī (1339-1406 A.H/1921-1986 A.C) is widely recognized as an authority on Islam and comparative religion. Dr. al Fārūqī was a dedicated and active academician. His educational training in Philosophy took place at Indiana and Harvard University. He also engaged in the post-graduate study of Islam at al-Azhar University and Christianity and Judaism at McGill University. He co-founded the International Institute of Islamic Thought (IIIT) and the Association of Muslim Social Scientists (AMSS). Among his significant intellectual and academic contributions is his consistent emphasis on the Islamization of knowledge and result-oriented inter-faith dialogues. The present book, Toward Islamic English, extends the same discourse on the Islamization of knowledge. However, the paradigm in which the book’s theme is described is more academic and relates to the methodological dimensions of studying Islamic Studies as an academic discipline.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.320
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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